Multi-Scale Harris Corner Detection Algorithm Based on Canny Edge-Detection

摘要

Harris algorithm is a classical corner detection algorithm, it has affine invariant and partial rotational invariance. But it does not have the scale invariance, and it has poor real-time and adaptability. This paper will put forward a new corner detection algorithm which based on improved Canny edge detection algorithm and improved multi-scale Harris corner detection algorithm. First the edge information of the target can be got by the improved Canny algorithm. Then process the original image by the Mean-Shift filter. At last adopts improved multi-scale Harris algorithm to detect the corners from the edge information, and marks the position of the corners in the original image. According to the experimental results, the new method shows that the corners distribute equably and have high accuracy. At the same time combine scale invariance and rotational invariance. The new method greatly improves image corner detection performance compared with the traditional Harris algorithm.